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com.google.api.services.bigquery.model
Class RegressionMetrics



java.lang.Object


java.util.AbstractMap<String,Object>


com.google.api.client.util.GenericData


com.google.api.client.json.GenericJson


com.google.api.services.bigquery.model.RegressionMetrics













All Implemented Interfaces:
Cloneable, Map<String,Object>




public final class RegressionMetrics
extends com.google.api.client.json.GenericJson
Evaluation metrics for regression and explicit feedback type matrix factorization models.

 
 This is the Java data model class that specifies how to parse/serialize into the JSON that is
 transmitted over HTTP when working with the BigQuery API. For a detailed explanation see:
 https://developers.google.com/api-client-library/java/google-http-java-client/json
 

Author:
Google, Inc.












Nested Class Summary




Nested classes/interfaces inherited from class com.google.api.client.util.GenericData
com.google.api.client.util.GenericData.Flags





Nested classes/interfaces inherited from class java.util.AbstractMap
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>





Nested classes/interfaces inherited from interface java.util.Map
Map.Entry<K,V>








Constructor Summary

Constructors 

Constructor and Description


RegressionMetrics() 









Method Summary

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


RegressionMetrics
clone() 


Double
getMeanAbsoluteError()
Mean absolute error.



Double
getMeanSquaredError()
Mean squared error.



Double
getMeanSquaredLogError()
Mean squared log error.



Double
getMedianAbsoluteError()
Median absolute error.



Double
getRSquared()
R^2 score.



RegressionMetrics
set(String fieldName,
   Object value) 


RegressionMetrics
setMeanAbsoluteError(Double meanAbsoluteError)
Mean absolute error.



RegressionMetrics
setMeanSquaredError(Double meanSquaredError)
Mean squared error.



RegressionMetrics
setMeanSquaredLogError(Double meanSquaredLogError)
Mean squared log error.



RegressionMetrics
setMedianAbsoluteError(Double medianAbsoluteError)
Median absolute error.



RegressionMetrics
setRSquared(Double rSquared)
R^2 score.







Methods inherited from class com.google.api.client.json.GenericJson
getFactory, setFactory, toPrettyString, toString





Methods inherited from class com.google.api.client.util.GenericData
entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys





Methods inherited from class java.util.AbstractMap
clear, containsKey, containsValue, isEmpty, keySet, size, values





Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait





Methods inherited from interface java.util.Map
compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll














Constructor Detail





RegressionMetrics
public RegressionMetrics()









Method Detail





getMeanAbsoluteError
public Double getMeanAbsoluteError()
Mean absolute error.

Returns:
value or null for none








setMeanAbsoluteError
public RegressionMetrics setMeanAbsoluteError(Double meanAbsoluteError)
Mean absolute error.

Parameters:
meanAbsoluteError - meanAbsoluteError or null for none








getMeanSquaredError
public Double getMeanSquaredError()
Mean squared error.

Returns:
value or null for none








setMeanSquaredError
public RegressionMetrics setMeanSquaredError(Double meanSquaredError)
Mean squared error.

Parameters:
meanSquaredError - meanSquaredError or null for none








getMeanSquaredLogError
public Double getMeanSquaredLogError()
Mean squared log error.

Returns:
value or null for none








setMeanSquaredLogError
public RegressionMetrics setMeanSquaredLogError(Double meanSquaredLogError)
Mean squared log error.

Parameters:
meanSquaredLogError - meanSquaredLogError or null for none








getMedianAbsoluteError
public Double getMedianAbsoluteError()
Median absolute error.

Returns:
value or null for none








setMedianAbsoluteError
public RegressionMetrics setMedianAbsoluteError(Double medianAbsoluteError)
Median absolute error.

Parameters:
medianAbsoluteError - medianAbsoluteError or null for none








getRSquared
public Double getRSquared()
R^2 score. This corresponds to r2_score in ML.EVALUATE.

Returns:
value or null for none








setRSquared
public RegressionMetrics setRSquared(Double rSquared)
R^2 score. This corresponds to r2_score in ML.EVALUATE.

Parameters:
rSquared - rSquared or null for none








set
public RegressionMetrics set(String fieldName,
                             Object value)

Overrides:
set in class com.google.api.client.json.GenericJson








clone
public RegressionMetrics clone()

Overrides:
clone in class com.google.api.client.json.GenericJson














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